Chinese Bulletin of Botany ›› 2020, Vol. 55 ›› Issue (6): 715-732.DOI: 10.11983/CBB20091

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An Overview of Genome-wide Association Studies in Plants

Yuhui Zhao1, Xiuxiu Li1,2, Zhuo Chen1,2, Hongwei Lu1,2, Yucheng Liu1,2, Zhifang Zhang1,2, Chengzhi Liang1,2,*()   

  1. 1Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
    2University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2020-05-20 Accepted:2020-08-26 Online:2020-11-01 Published:2020-11-11
  • Contact: Chengzhi Liang

Abstract: Genome-wide association study (GWAS) is a general approach for unraveling genetic variations associated with complex traits in both animals and plants. The development of high-throughput genotyping has greatly boosted the development and application of GWAS. GWAS is not only used to identify genes/loci contributing to specific traits from diversenatural populations with high-resolution genome-wide markers, it also systematically reveals the genetic architecture underlying complex traits. During recent years, GWAS has successfully detected a large number of QTLs and candidate genes associated with various traits in plants including Arabidopsis, rice, wheat, soybean and maize. All these findings provided candidate genes controlling the traits and theoretical basis for breeding of high-yield and high-quality varieties. Here we review the methods, the factors affecting the power, and a data analysis pipeline of GWAS to provide reference for relevant research.

Key words: mixed linear model, genome-wide association study (GWAS), bioinformatics